Biostatistician 3

🔍 School of Medicine, Stanford, California, United States

📁: Information Analytics

📅   : Dec 11, 2023 Post Date

📅   : 101688 Requisition #

The Department of Cardiothoracic Surgery is seeking a Ph.D. or DSc level statistician to develop and support the evolving clinical cardiovascular surgery clinical research database and outcomes group. The Department is dedicated to expanding the clinical and translational research efforts related to the fields of cardiology, cardiovascular surgery, critical care, cardiovascular anesthesia and imaging, and translational science, as well as collaborators in other medical specialty areas. These efforts will encompass a variety of clinical research methods, including prospective trials, case-control and other retrospective investigations, and cost-effectiveness/decision-analysis ICER studies. Successful candidates will be experienced in biomedical research, including survival time analysis, mixed modeling techniques and general estimating equations, propensity weighting/matching methods, parametric multivariate modeling approaches, and competing risk analysis. The candidate will be responsible for recruiting, training, and managing data aide research assistants. Past experience in cardiovascular research is necessary. Independent scholarly research interests and educational activities will be encouraged.

Responsibilities will include providing the following support to the Faculty:

Develop and apply novel data curation, metadata, and analytic techniques and approaches to departmental CV surgical data.
Lead the redevelopment of the cardiac surgery database, including recruiting team members, concatenating prior data sources and dealing with missing data fields, as well as design a new prospective database for ongoing data collection.
Providing advice on study design and development.
Providing advice on and assistance with the development of statistical analytic plans.
Providing advice on and assistance with sample size and power calculations.
Performing and assisting with interpretation of data analyses.
Assisting with the graphical presentation of data.
Assisting with the use of statistical software by center faculty and CV surgical trainees and fellows.
Helping with database development and documentation.
Authorship and editing of statistical methodology sections for grant applications, study proposals, and manuscripts.
Conducting training seminars on topics of interest.

* - Other duties may also be assigned

DESIRED QUALIFICATIONS:

Master’s degree in biostatistics, statistics or related field and at least 7 years’ experience of Ph.D. statistics or related field with at least 3 years of relevant experience.
Experience working with clinicians and researchers in the field of cardiovascular surgery and/or cardiology. Experience supervising and mentoring junior colleagues.

The department works with several governmental and private administrative external data gathering bodies, e.g., OSHPD, STS, ACC-STS TAVR registry, Intermacs LVAD registry, NCDR, UNOS transplant database, Stanford-specific EHR data reporting, and other administrative bodies. The successful candidate will have expertise in health care claims data, data management, annotation, and the use of these administrative datasets for clinical research purposes. This position will involve also obtaining and working with historic Cardiovascular surgery databases.

Excellent verbal and written communication skills are necessary in order to provide feedback to the database working group personnel as well as the scientific community to describe the data, provide effective and accurate documentation and specifications to co-workers during research project development, and contribute to the drafting of scientific literature and grant applications using results from the statistical analyses.

EDUCATION & EXPERIENCE (REQUIRED):

Master's degree in biostatistics, statistics or related field and at least 5 years of experience or Ph.D. in biostatistics, statistics or related field.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

Proficient in at least two statistical package and programming: R, SAS, SPSS, or STATA.
Skills in descriptive analysis, modeling of data, multivariable modeling of outcome data, and graphic interfaces.
Outstanding ability to communicate technical information to both technical and non-technical audiences.
Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator).

PHYSICAL REQUIREMENTS*:

Frequently perform desktop-based computer tasks, seated work and use light/ fine grasping.
Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 20 pounds.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

May work extended or non-standard hours based on project demands and time deadlines or business cycle needs.

WORK STANDARDS:

Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external consultants and organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.

The expected pay range for this position is $125,000 to $165,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Additional Information